Bring teams, models, knowledge and systems together around the work
Enterprise AI Platform
AI Intelligence & Models
AI Assistant & Productivity
Agent Platform & Orchestration
DO Flow// Leap for Productivity
Build, run and govern your processes at scale.
Put agents to work on real cases, with people in the loop where it matters. Move faster without losing the thread.
Set what every agent can and cannot do, enforced at runtime. Autonomy that never exceeds the authority you grant.
Every decision traceable, every action logged. Answer any regulator with a complete record.
Run complex, long-running cases with dynamic routing and escalation, so exceptions get handled without expensive escalation.
BPMN, CMMN and DMN you can inspect, extend and own. Portable by design, no vendor lock-in.
// One platform, every process
Model the predictable work, let agents handle the judgement calls inside the rules, and keep people on the decisions that matter, all on open standards.
The case is the harness.Put AI agents to work on real cases and keep the control your auditors expect.
For work that never follows the same path.Run long, exception-heavy cases with dynamic routing and escalation, and human review as a designed checkpoint.
Structured work, straight through.Coordinate people, systems and agents across end-to-end processes, with deterministic steps that cost no tokens.
Open by design.Connect core systems, content, RPA and any AI model, on BPMN, CMMN and DMN engines you can inspect and own.
// Leap Today withDataObserve
Put AI agents to work and keep the control your auditors expect, with the case as the harness.
Enterprise AI agents that act inside governed processes, with people approving what matters.
AI inside business processes, deciding when an AI task runs, what it sees and who reviews it.
Long-running, unpredictable work with dynamic routing, stages and escalation.
Coordinate people, systems and agents across end-to-end processes.
One platform for processes, cases, decisions and integration instead of a stack of point tools.
Combine AI, RPA, rules and integrations to automate as much of a process as makes sense.
A managed, secure runtime for DataObserve Flow, operated for you.
Connect core systems, content, RPA and AI models to every case and process.
Compact process, case and rules engines on BPMN, CMMN and DMN, portable with no lock-in.
// Integrations
Ready-made connectors, event brokers and model providers plug into any case or process, with each call governed by its permissions.
// FAQs
What is DataObserve Flow?
DataObserve Flow is an agentic case platform for building, running and governing processes where AI agents and people work together, on BPMN, CMMN and DMN open standards.
What is agentic case management?
Agentic case management uses a case, with its context, rules and history, as the harness for AI agents: the case defines what an agent may do, the agent decides the next step and people stay in control.
Which open standards does DataObserve Flow support?
BPMN for processes, CMMN for cases and DMN for decisions, so models stay readable, portable and free of vendor lock-in.
Which industries use DataObserve Flow?
Regulated, process-heavy industries such as banking, insurance, healthcare and manufacturing, where audit trails and human checkpoints matter.
How does DataObserve Flow govern AI agent actions?
Each agent sees only the case data it needs, acts only where the process allows, escalates when uncertain and is recorded in the audit trail.
How can DataObserve Flow be deployed?
As DataObserve-managed Enterprise Cloud (dedicated or shared), or with the engines embedded in Java, run as a service or scaled out in your own cluster.
// Designed for enterprises
Review security, data handling and deployment requirements with our team.
Keep sensitive information within your organization’s approved data boundaries.
Define who can access connected data and which actions require approval.
Plan deployment around your infrastructure and operational requirements.
Shared agents
